Evidence map›Paper›PMID 37266123›Full record

ArticleNutrition research and practice2023

Resting energy expenditure in Korean type 2 diabetes patients: comparison between measured and predicted values.

Ji-Sook Park, Sung-Rae Cho, Jung-Eun Yim

Abstract read
In one paragraph

Article in Nutrition research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ji-Sook ParkDepartment of Food and Nutrition, Changwon National University, Changwon 51140, Korea.ORCID https://orcid.org/0000-0002-6945-9552
Sung-Rae ChoDepartment of Endocrinology, Changwon Fatima Hospital, Changwon 51394, Korea.ORCID https://orcid.org/0000-0003-0992-1183
Jung-Eun YimDepartment of Food and Nutrition, Changwon National University, Changwon 51140, Korea.ORCID https://orcid.org/0000-0001-8344-1386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesEstimation of energy demand using resting energy expenditure (REE) is a reasonable approach for optimizing glycemic control and weight management in patients with type 2 diabetes mellitus (T2DM). This study aimed to compare REE predictions and objective measurements in patients with T2DM in Korea. SUBJECTS/

methodsThis study enrolled 36 participants with T2DM (age range, 20-60 years). Anthropometric variables including height, weight, waist-hip ratio, blood pressure, body fat, body fat percentage, and total body weight were measured using bioimpedance. REE was evaluated using indirect calorimetry. The measured REE values were compared to values estimated using five predictive equations: the Harris-Benedict, Mifflin, Owen, Food and Agriculture Organization of the United Nations/World Health Organization (FAO/WHO), and Schofield equations. This study evaluated the associations between measured REE values and anthropometric/clinical data, including height, weight, and age, using multivariate linear regression.

resultsThe mean measured REE value was 1891.79 ± 288.03 kcal/day (male), 1,502.00 ± 202.96 kcal/day (female). REE estimates generated from the Mifflin equation showed the largest differences from measured REE values, whereas estimates derived from the FAO/WHO equation were the closest to the measured REE values. This study also identified associations between measured REE values and various anthropometric/clinical variables.

conclusionThe accuracy of REE prediction equations is critically important in promoting the efficacy of dietary counseling and the effective treatment of diabetes. Our results indicate the need for additional studies informing more suitable methods for determining the energy requirements of Korean patients with T2DM.

Indexed as

Basal metabolic ratediabetes mellitusenergy metabolismnutritional requirementsnutrition therapy

Identifiers

PMID37266123
PMCPMC10232204

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.